The main scientific objective of this project is defined as follows: To investigate how quantum information representation and algorithms can contribute to complex NLP tasks related to language understanding and generation (e.g., text simplification and summarisation). This includes exploring quantum-inspired algorithms that can model linguistic phenomena, with special attention to semantic representation (e.g., contextual embeddings, semantic composition, metaphors) and other areas where quantum advancements could provide significant improvements, achieving more accurate and precise results compared to current approaches, making them more interpretable, transparent and thus, trustworthy.

In order to achieve this objective, we define the following specific objectives:

• OB1. To analyse and establish how to apply quantum theories to the representation of texts identifying current limitations and challenges.
• OB2. To study the state of the art on available quantum algorithms and frameworks for NLP.
• OB3. To explore different optimisation mechanisms that can be used to propose either pure quantum models or hybrid models combined with LLMs and compare them.
• OB4. To research, propose and develop novel NLP approaches that integrate the principles of quantum information theory for language understanding and generation tasks (e.g., text simplification and summarisation) and the linguistic phenomena involved in them related to the semantic representation of text, such as contextual embeddings, knowledge graphs, word sense disambiguation, anaphora resolution, or metaphor interpretation.
• OB5. To design and development of a specialised RAG (Retrieval-Augmented Generation) system for retrieving and generating information on innovation. This system will integrate advancements in QNLP tasks developed within the project, such as contextual embeddings, semantic composition, knowledge graphs, anaphora resolution, metaphors, and other areas where quantum advancements can provide significant improvements. This use case will serve as an experimental platform and testing ground to evaluate intrinsically and extrinsically the impact and effectiveness of the developments in NLP, ensuring a practical and results-oriented approach.
• OB6. To promote and disseminate the research results obtained from the project through different national and international media—including well-indexed journals, conferences, seminars, etc.—as well as exploit the potential for transferring this technology to society.